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J. Stephen Downie (Graduate School of Library and Information Science, University of Illinois at Urbana-Champaign), David De Roure (Oxford e-Research Centre, University of Oxford) and Kevin Page (Oxford e-Research Centre, University of Oxford).Music Linked Data Workshop, 12 May 2011, JISC, London.

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SALAMI Objectives<br />SALAMI == Structural Analysis of Large amounts of Music Information<br />Musical analysis has traditionally been conducted by individuals and on a small scale<br />Computational approach, combined with the huge volume of data now available, will <br />Deliver substantive corpus of musical analyses in common framework for music scholarsand students<br />Establish a methodology and tooling so that community can sustain and enhance this resource<br />www.diggingintodata.org<br />

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Motivation<br />A resource of this size empowers musicologists to approach their work in a new and different way, starting with the data, and to ask research questions that have not been possible before<br />The analysis is useful in classifying different genres of music and can be used to compare different styles of composition within a composer’s works or between composers<br />It can also be used to understand historical influences over time and location<br />